Population Pharmacokinetic and Toxicity Analysis of High-Dose Methotrexate in Patients with Central Nervous System Lymphoma.

IF 4.6 2区 医学 Q1 PHARMACOLOGY & PHARMACY
Clinical Pharmacokinetics Pub Date : 2025-01-01 Epub Date: 2024-12-03 DOI:10.1007/s40262-024-01452-6
Anyue Yin, Fleur A de Groot, Henk-Jan Guchelaar, Marcel Nijland, Jeanette K Doorduijn, Daan J Touw, Thijs Oude Munnink, Brenda C M de Winter, Lena E Friberg, Joost S P Vermaat, Dirk Jan A R Moes
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引用次数: 0

Abstract

Background: High-dose methotrexate (HD-MTX)-based polychemotherapy is widely used for patients with central nervous system (CNS) lymphoma. The pharmacokinetic (PK) variability and unpredictable occurrence of toxicity remain major concerns in HD-MTX treatment.

Objectives: This study aimed to characterize the population PK of HD-MTX in patients with CNS lymphoma and to identify baseline predictors and exposure thresholds that predict a high risk of nephro- and hepatotoxicity.

Methods: Routinely monitored serum MTX concentrations after intravenous infusion of HD-MTX and MTX dosing information were collected retrospectively. Acute event of toxicity (≥ grade 1) was defined according to the Common Terminology Criteria for Adverse Events (CTCAE) version 5.0 on the basis of serum creatinine and alanine aminotransferase. A population PK model was developed in NONMEM. Toxicity data were analyzed using a logistic regression model, and potential baseline and exposure-related predictors were investigated.

Results: In total, 1584 MTX concentrations from 110 patients were available for analysis. A two-compartment population PK model adequately described the data. Estimated glomerular filtration rate (eGFR), treatment regimen, albumin, alkaline phosphatase, and body weight were identified as significant covariates that explain the PK variability of HD-MTX. Baseline eGFR and sex were identified as significant predictors for renal toxicity, and MTX dose (mg/m2) was the strongest predictor for hepatotoxicity. The MTX area under the concentration-time curve (AUC24-∞) and concentration at 24 h (C24h) were shown to correlate with renal toxicity only, and 49,800 μg/L × h (109.6 μmol/L × h) and C24h > 3930 μg/L (8.65 μmol/L) were potential exposure thresholds predicting high risk (proportion > 60%).

Conclusions: A population PK model was developed for HD-MTX in patients with CNS lymphoma. The toxicity analysis showed that lower baseline eGFR and male sex, and higher MTX dose are associated with increased risk of acute nephro- and hepatotoxicity, respectively. The proposed exposure thresholds that predict high risk of renal toxicity and the developed models hold the potential to guide HD-MTX dosage individualization and better prevent acute toxicity.

大剂量甲氨蝶呤治疗中枢神经系统淋巴瘤的人群药动学及毒性分析。
背景:以高剂量甲氨蝶呤(HD-MTX)为基础的多药化疗广泛应用于中枢神经系统(CNS)淋巴瘤患者。药代动力学(PK)变异性和不可预测的毒性发生仍然是HD-MTX治疗的主要问题。目的:本研究旨在描述中枢神经系统淋巴瘤患者中HD-MTX的人群PK,并确定预测肾和肝毒性高风险的基线预测因子和暴露阈值。方法:回顾性收集静脉滴注HD-MTX后常规监测血清MTX浓度及MTX给药信息。急性毒性事件(≥1级)根据不良事件通用术语标准(CTCAE) 5.0版以血清肌酐和丙氨酸转氨酶为基础进行定义。在NONMEM中建立了种群PK模型。使用逻辑回归模型分析毒性数据,并调查潜在的基线和暴露相关预测因子。结果:共有110例患者的1584个MTX浓度可供分析。两室总体PK模型充分描述了数据。估计肾小球滤过率(eGFR)、治疗方案、白蛋白、碱性磷酸酶和体重被确定为解释HD-MTX的PK变异性的重要协变量。基线eGFR和性别被确定为肾毒性的重要预测因子,MTX剂量(mg/m2)是肝毒性的最强预测因子。浓度-时间曲线下MTX面积(AUC24-∞)和24h浓度(C24h)仅与肾毒性相关,49,800 μg/L × h (109.6 μmol/L × h)和C24h > 3930 μmol/L (8.65 μmol/L)是预测高风险的潜在暴露阈值(>比例为60%)。结论:建立了中枢神经系统淋巴瘤患者HD-MTX的群体PK模型。毒性分析显示,较低的基线eGFR和男性以及较高的MTX剂量分别与急性肾毒性和肝毒性的风险增加有关。预测肾毒性高风险的暴露阈值和开发的模型具有指导HD-MTX剂量个体化和更好地预防急性毒性的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
8.80
自引率
4.40%
发文量
86
审稿时长
6-12 weeks
期刊介绍: Clinical Pharmacokinetics promotes the continuing development of clinical pharmacokinetics and pharmacodynamics for the improvement of drug therapy, and for furthering postgraduate education in clinical pharmacology and therapeutics. Pharmacokinetics, the study of drug disposition in the body, is an integral part of drug development and rational use. Knowledge and application of pharmacokinetic principles leads to accelerated drug development, cost effective drug use and a reduced frequency of adverse effects and drug interactions.
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